Heterogeneous sensor networks: a bio-inspired overlay architecture

Jerry Burman; Joao Hespanha; Upamanyu Madhow; Daniel Klein; Jason Isaacs; Sriram Venkateswaran; Tien Pham

doi:10.1117/12.851533

7 May 2010 Heterogeneous sensor networks: a bio-inspired overlay architecture

Jerry Burman, Joao Hespanha, Upamanyu Madhow, Daniel Klein, Jason Isaacs, Sriram Venkateswaran, Tien Pham

Proceedings Volume 7694, Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR; 76940T (2010) https://doi.org/10.1117/12.851533
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Teledyne Scientific Company, the University of California at Santa Barbara (UCSB) and the Army Research Lab are developing technologies for automated data exfiltration from heterogeneous sensor networks through the Institute for Collaborative Biotechnologies (ICB). Unmanned air vehicles (UAV) provide an effective means to autonomously collect data from unattended ground sensors (UGSs) that cannot communicate with each other. UAVs are used to reduce the system reaction time by generating autonomous data-driven collection routes. Bio-inspired techniques for search provide a novel strategy to detect, capture and fuse data across heterogeneous sensors. A fast and accurate method has been developed for routing UAVs and localizing an event by fusing data from a sparse number of UGSs; it leverages a bio-inspired technique based on chemotaxis or the motion of bacteria seeking nutrients in their environment. The system was implemented and successfully tested using a high level simulation environment using a flight simulator to emulate a UAV. A field test was also conducted in November 2009 at Camp Roberts, CA using a UAV provided by AeroMech Engineering. The field test results showed that the system can detect and locate the source of an acoustic event with an accuracy of about 3 meters average circular error.

Citation Download Citation

Jerry Burman, Joao Hespanha, Upamanyu Madhow, Daniel Klein, Jason Isaacs, Sriram Venkateswaran, and Tien Pham "Heterogeneous sensor networks: a bio-inspired overlay architecture", Proc. SPIE 7694, Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR, 76940T (7 May 2010); https://doi.org/10.1117/12.851533

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KEYWORDS

Sensors

Unmanned aerial vehicles

Acoustics

Biomimetics

Sensor networks

Source localization

Cameras

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